Creating and sharing knowledge for telecommunications
... Ehsan Yaghoubi

PhD Student

Ehsan Yaghoubi

Academic position: PhD Student
Joining date: 01-10-2018
Roles in IT: PhD Student
Thematic Line: Networks and Services
Group: Network Architectures and Protocols – Cv

Email: Send Email
Address: IT Branch – Covilhã
Faculdade de Engenharia
Tel: 275329953
Fax: 275329972

Scientific Achievements

  • Computer Vision, Pattern Recognition, Deep Convolutional Neural Networks
  • E. Yaghoubi, B. Degardin, D. Borza, H. Proença, You look so different! Haven’t I seen you a long time ago?, Image and Vision Computing, Vol. 115, No. 1, pp. 104288 - 104288, November, 2021 | Full text (PDF 1 MB) | BibTex
  • E. Yaghoubi, D. Borza, A. Kumar, H. Proença, Person re-identification: Implicitly defining the receptive fields of deep learning classification frameworks, Pattern Recognition Letters, Vol. 145, No. 0, pp. 23 - 29, May, 2021 | BibTex
  • E. Yaghoubi, A. Kumar, H. Proença, SSS-PR: A Short Survey of Surveys in Person Re-identification, Pattern Recognition Letters, Vol. 143, No. 0, pp. 50 - 57, January, 2021 | BibTex
  • A. Kumar, E. Yaghoubi, A. Das, B. Harish, H. Proença, The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking and Short/Long-term Re-Identification from Aerial Devices, IEEE Transactions on Information Forensics and Security, Vol. 0, No. 0, pp. 1 - 1, December, 2020 | BibTex
  • H. Proença, E. Yaghoubi, P. Alirezazadeh, A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems, IEEE Transactions on Information Forensics and Security, Vol. 0, No. 0, pp. 1 - 1, September, 2020 | BibTex
  • E. Yaghoubi, F. Khezeli, D. Borza, A. Kumar, J. Neves, H. Proença, Human Attribute Recognition— A Comprehensive Survey, Applied Sciences (Switzerland), Vol. 10, No. 16, pp. 5608 - 5608, August, 2020 | BibTex
  • E. Yaghoubi, D. Borza, J. Neves, A. Kumar, H. Proença, An attention-based deep learning model for multiple pedestrian attributes recognition, Image and Vision Computing, Vol. 0, No. 0, pp. 103981 - 103981, July, 2020 | BibTex